• STI Policy Review
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• 제1권2호
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• pp.69-88
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• 2010

This paper explores the determinants of the innovation impact of publicly funded R&D projects along three broad dimensions, namely project, firm and market-related factors. In addition to these factors we examine the attributes of the research result per se and aspects of the commercialization process. The observations from empirical and qualitative analyses are based on R&D projects funded by the Fifth and Sixth Research Framework Programmes of the European Union. Firm size, prior experience, innovation culture, the nature of the project itself, explicit intension to commercialize, consortium management and strategy are the factors with the strongest effect on project success, defined in terms of product/process innovation and/or technical knowledge creation. The paper provides important implications for the organization, objectives, and management of public programmes that fund R&D and for project and participant selection.

• 국제학술발표논문집
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• The 2th International Conference on Construction Engineering and Project Management
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• pp.739-748
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• 2007

The objective of this research study is to develop the permutation-based genetic algorithm for solving the resource-constrained project scheduling problem in construction engineering by incorporating elitism into genetic algorithm. A key aspect of the algorithm was the development of the elitist roulette selection operator to preserve the best individual solution for the next generation so the improved solution can be obtained. Another notable characteristic is the application of the parallel schedule generation scheme to generate a feasible solution to the problem. Case studies with a standard test problem were presented to demonstrate the performance and accuracy of the algorithm. The computational results indicate that the proposed algorithm produces reasonably good solutions for the resource-constrained project scheduling problem.

• Journal of Construction Engineering and Project Management
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• 제7권2호
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• pp.1-10
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• 2017

The Clonal Selection Algorithm (CSA) is an algorithm inspired by the human immune system mechanism. In CSA, several parameters needs to be optimized by large amount of sensitivity analysis for the optimal results. They limit the accuracy of the results due to the uncertainty and subjectivity. Adaptive Clonal Selection (ACS), a modified version of CSA, is developed as an algorithm without controls by pre-defined parameters in terms of selection process and mutation strength. In this paper, we discuss the ACS in detail and present its implementation in construction site utilization planning (CSUP). When applied to a developed model published in research literature, it proves that the ACS are capable of searching the optimal layout of temporary facilities on construction site based on the result of objective function, especially when the parameterization process is considered. Although the ACS still needs some improvements, obtaining a promising result when working on a same case study computed by Genetic Algorithm and Electimze algorithm prove its potential in solving more complex construction optimization problems in the future.

• 한국건축시공학회지
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• 제11권5호
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• pp.523-529
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• 2011

In a tall building construction with reinforced concrete structures, the selection of an appropriate formwork system is a crucial factor for the success of the project. Thus, selecting an appropriate formwork system affects the entire construction duration and cost, as well as subsequent construction activities. However, in practice, the selection of an appropriate formwork system has depended mainly on the intuitive and subjective opinion of working level employees with restricted experience. Therefore, in this study, a formwork system selection model using the Adaboost algorithm is proposed to support the selection of a formwork system that is suitable for the construction site conditions. To validate the applicability of the proposed model, the selection models Adaboost and ANN were both applied to actual case data of tall building construction in Korea. The Adaboost model showed slightly better accuracy than that of the ANN model. The Adaboost model can assist engineers to determine the appropriate formwork system at the inception of future projects.

• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.209-212
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• 2011

Selection of finishing materials in the design stage is an important management factor in terms of use safety and satisfaction, and work cost and process. However, selection of materials in the design stage is usually conducted without related guidelines or a set process, but depends on the experience of the architect or advice of materials company employees. Therefore, the aim of this study was to develop a finishing materials selection process that can be used by a architect. Materials selection related rules collected through interview with experts and five office building cases were used as knowledge. In addition, another aim of the study was to propose a prototype system interface for use in the field.

• 기술혁신학회지
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• 제13권3호
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• pp.459-470
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• 2010

본 연구는 에너지기술개발사업의 과제 기획 결과 자료를 활용하여 정부의 기술개발사업의 과제 기획 과정에서 산업분석이 지원 대상 기술 개발 과제 선정에 미치는 영향과 의미를 알아보고, 효과적인 산업분석 방안을 제안하였다. 실증 분석 결과, 기획 과제 선정에서는 R&D 효율성과 R&D 지원 필요성이 감안되고 있는 것으로 분석되어 기획 과제의 선정 과정에서 산업의 요구를 상당히 반영되고 있었다. 그러나 Supply Chain 공백 정도나 Supply Chain 완성 기여도, 그리고 대외수지 개선 기여도는 과제선정에 잘 반영되지 못하였다. 즉, 지속적인 대외 교역 수지 개선과 에너지 산업의 수입 의존적 발전의 개선 필요성이 높음에도 불구하고 기획 과제의 선정 과정에서는 해당 기획 과제가 소속된 Supply Chain의 완성 상태에 대한 고려와 수입 대체 및 수출 산업화에 대한 고려가 부족하였다. 따라서 정부 기술개발사업에서는 R&D 지원이 보다 효율화될 수 있도록 보다 세밀한 산업 분석을 통해 산업의 R&D 수요를 정확히 파악하고 그 R&D 수요를 잘 충족시킬 수 있도록 기술 개발 기획이 이루어질 필요가 있으며, 더욱 체계화된 Supply chain 분석과 활용이 필요한 것으로 나타났다.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2002년도 Proceedings
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• pp.461-463
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• 2002

Image quality and selection of optimized window for good quality reconstruction in coronary angiography using multi-detector row CT (MDCT) have not been studied by heart rate and its variation. Therefore, the effect of heart rate and its variation was systemically analyzed. Eighty-three patients were undergone contrast-enhanced coronary angiography using MDCT. In this study, sixty cases were enrolled. Two radiologists graded image quality as follows: 4, excellent; 3, good; 2, fair; l, bad. The starting points of the reconstruction window were chosen at seventy and forty percent of R wave interval. Optimized window was scored as 1 when 40% reconstruction was better quality than 70%, as 2 when 40% reconstruction is same as 70%, and as 3 when 70% reconstruction was better than 40%. Regression analysis was performed. The range of variation of beats per minute (BPM) was well correlated with image quality (r=-0.55, p=0.000), however correlation with optimized window percentage was not statistically significant (p=0.969). By contraries, median value of BPM was comparatively well correlated with optimized window grade (r=-0.24, p=0.086). Median value of BPM was not well correlated with image quality (r=0.l70, p=0.l97). Image quality is more affected by variation of heart rate (VHR) than by higher heart rate. Selection of optimized reconstruction window for good image quality is mainly affected by heart rate and there is a tendency that systolic phase reconstruction is better in image quality than diastolic reconstruction in higher heart rate.

• 대한기계학회논문집B
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• 제36권8호
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• pp.865-871
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• 2012

최근 고유가와 천연가스 수요 상승에 따른 가격 상승으로 인하여 상대적으로 낮은 가격의 석탄을 이용한 에너지 생산이 주목을 받고 있다. IGCC를 비롯한 석탄가스화 분야는 오래전부터 청정화석연료를 이용한 유망한 기술로 각광받아 왔었다. 본 연구에서는 이러한 석탄가스화 기술을 이용하여 합성천연가스를 생산하는 실제 프로젝트 개발단계에서 석탄가스화기 선정을 위한 기술적 검토를 수행하였다. 합성천연가스 생산에 적합하다고 판단되는 가스화기로써 고정층 슬래그 가스화기, 습식 분류층 가스화기, 건식 분류층 가스화기를 검토 대상으로 선정하여 연구를 진행하였다. 선정된 가스화기별 주요 공정 특징 및 성능에 대하여 검토하였으며, 종합검토내용을 토대로 합성천연가스 생산시 석탄가스화기 선정방향에 대하여 제시하였다.

• 한국건설관리학회논문집
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• 제22권2호
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• pp.63-71
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• 2021

국내 기업의 해외 건설 수주는 지속적으로 성장하고 양적성장을 이루어왔지만, 2011년 유가하락에 이어 최근 COVID-19의 장기화 등 대외환경의 불확실성이 커지며 해외 건설 시장의 침체가 전망된다. 이에 4차 산업혁명의 발전된 기술을 활용해 그간 축적된 데이터를 연구한다면, 향후 해외 건설사업 관리의 역량 및 경쟁력을 키울 수 있을 것이다. 따라서 이 연구에서는 중동 건설시장에서 공정지연과 주요 분쟁의 원인으로 대두되고 있는 공사변경의 상향된 프로젝트 관리 방안을 제시하고자 하였다. 우선 실제 해외 플랜트 건설사례를 분석하여 6가지 주요 공사변경 원인을 도출하였고, 이에 따라 영향을 받는 요인을 8가지로 분류하였다. 특히 머신러닝 기반의 다양한 Feature Selection 기법을 활용해 중요도를 계량화된 수치를 평가함으로써 공사변경과 영향 요인 사이의 유의미한 관계를 파악 하였다. 이를 통해 프로젝트 관리 측면에서 내부적으로는 공사변경의 명확한 관리 방향 수립이 가능하고, 대외적으로는 협상 기간 단축으로 추가적인 공기 지연을 방지하고 비용지출 관리가 가능할 것이라고 판단된다.

• 한국IT서비스학회지
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• 제21권4호
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• pp.27-61
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• 2022

In order to improve project performance by analyzing the effects of the project manager's leadership competency and the individual competency of the project participants on the project performance, this study examines the effect. In this study, a research model and hypothesis were established to understand the causal relationship between leadership competency, individual competency, and project performance, and a survey was conducted based on this. Overall, it was found that the leadership competency of the project manager and the individual competency of the project participants had a positive effect on the project management performance, the project leadership competency had a positive effect on the completion performance, and the project participant individual competency had a negative effect on the completion performance. As a result of analyzing the effect of the project manager's core competency on the project management performance according to the amount or period of the project type, which is the moderating variable, it was found that there was no moderating effect on the management performance. For the success of the SI project, it is most important to understand the project characteristics well and select a PM suitable for the characteristics, and methods for nurturing excellent project managers should be further studied. In addition, it is expected that it will be possible to identify the effect of project manager leadership competency and participant competency on project performance based on sophisticated research design for more competent PM selection.